common statistical data use in health administration
Both are linear data structures.
Yes
none of the data repeat (they are all unique) so there is no mode.
They all describe data set or data sets,hey tell you how far apart they are from each other.
Reject Code
For iPERMS Indexing, the data fields that are commonly required include the Soldier's name, Social Security Number (SSN), document type, document date, and document title. These fields are important for correctly identifying and categorizing documents within the system.
Index validation in iPERMS is used to ensure that the correct document is being uploaded to the appropriate field, such as verifying that a record is being uploaded to the correct personnel record. This helps maintain data integrity and accuracy within the system.
In iperms, the required data fields for indexing typically include unique identifier (such as SSN or employee ID), document type, document title, document date, and document source. Additional fields like author, subject, and keywords may be included for more detailed indexing and retrieval purposes.
duplication
No they shoudnt have.
RA(Repeat Accumulator)
Normalization is a process of reducing redundancies of data in a database. If you don't normalize you will have to repeat data entry.
common statistical data use in health administration
There are multiple trials conducted, and the procedure for collecting data is properly designed.
They want to make sure that their data is repeatable.
no. experiments should be repeatd